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FINANCE RESEARCH SEMINAR

2018-2019

EnIESEG School of Management ( IÉSEG )

Class code :

1819-IÉSEG-M1S2-FIN-MA-TE23UE

FINANCE


Level Year Period Language of instruction 
Master1S2EnEnglish
Academic responsibilityJ.LEFEBVRE
Lecturer(s)Jérémie LEFEBVRE , Oskar KOWALEWSKY , Paul ZIMMERMANN


Prerequisites

Knowledge of financial theories and concepts
Quantitative methods used in finance (mathematics, statistics, econometrics)

Learning outcomes

Conduct a master’s thesis in finance using to the hypothetico-deductive research method. This includes:
-Master the appropriate techniques and display expertise in finance
-Establish a coherent conceptual frameworks and define relevant assumptions
-Determine and collect an appropriate sample of data, and provide descriptive statistics
-Choose and apply appropriate quantitative methods
-Analyze and interpret empirical results
-Formulate conclusions
-Use the appropriate writing style for a master’s thesis
-Perform an oral defense of the research results, and convince the audience about the objectivity and rigor of the methods used

Course description

The course consists of working on a "mini-thesis" (similar to the master thesis, but smaller in scope and scale). The course is split in two groups: students who choose the 'Corporate Finance' sub-track, and those who choose the 'Asset & Risk Management' sub-track. Several lectures will guide students.
1 - Reminder about the hypothetico-deductive method and literature review
2 - Oral defense: the research proposal
3 - Data collection: sampling methods and extraction of data from financial databases
4 - Data analysis, interpreting results, and conclusion
5 - Oral defense: data and methodology
6 - Writing style of a thesis
7 - Oral defense of the mini-thesis


Class type

Class structure

Type of courseNumbers of hoursComments
Face to face
Coaching0,50  
Tutorials5,00  
Interactive class16,00  
Independent work
E-Learning5,00  
Reference manual 's readings15,00  
Research20,00  
Independent study
Estimated personal workload20,00  
Group Project20,00  
Total student workload101,50  

Teaching methods

  • Coaching
  • E-learning
  • Interactive class
  • Presentation
  • Project work
  • Research
  • Tutorial


Assessment

The main evaluation of related to the "mini-thesis" project. Other evaluations with consist of computer tutorials.

Type of controlDurationNumberPercentage break-down
Continuous assessment
Participation0,00010,00
Oral presentation1,00220,00
Others
Case study0,00020,00
Oral presentation0,00110,00
Group Project0,00140,00
TOTAL     100,00

Recommended reading

  • Course notes provided by the professor -


Internet resources

  • IESEG Online

    The course website on ieseg-online will be used for various information and documents. It is mandatory that students be registered to the course forum as important information will be communicated through this medium.



 
* This information is non-binding and can be subject to change
 
 
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